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Senior Lead AI/ML Engineer - Brillio LLC
ML Engineer
Lead end‑to‑end AI/ML initiatives, architecting scalable models on AWS, and driving production deployments with Docker/Kubernetes. Collaborate with cross‑functional teams to deliver high‑impact solutions using Python, TensorFlow, and PyTorch.
About the role
Key Responsibilities
- Architect and lead the development of end‑to‑end AI/ML pipelines, from data ingestion to model deployment on AWS.
- Mentor a team of data scientists and ML engineers, fostering best practices in model validation, versioning, and reproducibility.
- Collaborate with product, engineering, and operations teams to translate business requirements into scalable ML solutions.
- Design and maintain CI/CD workflows for model training, testing, and deployment using Docker and Kubernetes.
- Ensure compliance with data privacy, security, and governance standards across all ML projects.
Requirements
- 10+ years of experience in AI/ML engineering with a proven track record of delivering production‑grade models.
- Deep expertise in Python, TensorFlow, and PyTorch, plus strong knowledge of AWS services (SageMaker, EC2, S3, Lambda).
- Hands‑on experience with containerization (Docker) and orchestration (Kubernetes) for ML workloads.
- Excellent communication skills and ability to lead cross‑functional teams in a fast‑paced environment.
- Advanced degree in Computer Science, Data Science, or related field preferred.
Skills
pythonmachine learningawstensorflowpytorchdockerkubernetes